Index

_

__eq__() (evalml.data_checks.DataCheckError method) (evalml.data_checks.DataCheckMessage method) (evalml.data_checks.DataCheckWarning method) __init__() (evalml.automl.automl_algorithm.AutoMLAlgorithm method) (evalml.automl.automl_algorithm.IterativeAlgorithm method) (evalml.automl.AutoMLSearch method) (evalml.data_checks.ClassImbalanceDataCheck method) (evalml.data_checks.DataCheck method) (evalml.data_checks.DataCheckError method) (evalml.data_checks.DataCheckMessage method) (evalml.data_checks.DataChecks method) (evalml.data_checks.DataCheckWarning method) (evalml.data_checks.DefaultDataChecks method) (evalml.data_checks.HighlyNullDataCheck method) (evalml.data_checks.IDColumnsDataCheck method) (evalml.data_checks.InvalidTargetDataCheck method) (evalml.data_checks.NoVarianceDataCheck method) (evalml.data_checks.OutliersDataCheck method) (evalml.data_checks.TargetLeakageDataCheck method) (evalml.objectives.AccuracyBinary method) (evalml.objectives.AccuracyMulticlass method) (evalml.objectives.AUC method) (evalml.objectives.AUCMacro method) (evalml.objectives.AUCMicro method) (evalml.objectives.AUCWeighted method) (evalml.objectives.BalancedAccuracyBinary method) (evalml.objectives.BalancedAccuracyMulticlass method) (evalml.objectives.BinaryClassificationObjective method) (evalml.objectives.CostBenefitMatrix method) (evalml.objectives.ExpVariance method) (evalml.objectives.F1 method) (evalml.objectives.F1Macro method) (evalml.objectives.F1Micro method) (evalml.objectives.F1Weighted method) (evalml.objectives.FraudCost method) (evalml.objectives.LeadScoring method) (evalml.objectives.LogLossBinary method) (evalml.objectives.LogLossMulticlass method) (evalml.objectives.MAE method) (evalml.objectives.MAPE method) (evalml.objectives.MaxError method) (evalml.objectives.MCCBinary method) (evalml.objectives.MCCMulticlass method) (evalml.objectives.MeanSquaredLogError method) (evalml.objectives.MedianAE method) (evalml.objectives.MSE method) (evalml.objectives.MulticlassClassificationObjective method) (evalml.objectives.ObjectiveBase method) (evalml.objectives.Precision method) (evalml.objectives.PrecisionMacro method) (evalml.objectives.PrecisionMicro method) (evalml.objectives.PrecisionWeighted method) (evalml.objectives.R2 method) (evalml.objectives.Recall method) (evalml.objectives.RecallMacro method) (evalml.objectives.RecallMicro method) (evalml.objectives.RecallWeighted method) (evalml.objectives.RegressionObjective method) (evalml.objectives.RootMeanSquaredError method) (evalml.objectives.RootMeanSquaredLogError method) (evalml.pipelines.BaselineBinaryPipeline method) (evalml.pipelines.BaselineMulticlassPipeline method) (evalml.pipelines.BaselineRegressionPipeline method) (evalml.pipelines.BinaryClassificationPipeline method) (evalml.pipelines.ClassificationPipeline method) (evalml.pipelines.components.BaselineClassifier method) (evalml.pipelines.components.BaselineRegressor method) (evalml.pipelines.components.CatBoostClassifier method) (evalml.pipelines.components.CatBoostRegressor method) (evalml.pipelines.components.ComponentBase method) (evalml.pipelines.components.DateTimeFeaturizer method) (evalml.pipelines.components.DecisionTreeClassifier method) (evalml.pipelines.components.DecisionTreeRegressor method) (evalml.pipelines.components.DelayedFeatureTransformer method) (evalml.pipelines.components.DFSTransformer method) (evalml.pipelines.components.DropColumns method) (evalml.pipelines.components.DropNullColumns method) (evalml.pipelines.components.ElasticNetClassifier method) (evalml.pipelines.components.ElasticNetRegressor method) (evalml.pipelines.components.Estimator method) (evalml.pipelines.components.ExtraTreesClassifier method) (evalml.pipelines.components.ExtraTreesRegressor method) (evalml.pipelines.components.Imputer method) (evalml.pipelines.components.LightGBMClassifier method) (evalml.pipelines.components.LightGBMRegressor method) (evalml.pipelines.components.LinearRegressor method) (evalml.pipelines.components.LogisticRegressionClassifier method) (evalml.pipelines.components.OneHotEncoder method) (evalml.pipelines.components.PerColumnImputer method) (evalml.pipelines.components.RandomForestClassifier method) (evalml.pipelines.components.RandomForestRegressor method) (evalml.pipelines.components.RFClassifierSelectFromModel method) (evalml.pipelines.components.RFRegressorSelectFromModel method) (evalml.pipelines.components.SelectColumns method) (evalml.pipelines.components.SimpleImputer method) (evalml.pipelines.components.StackedEnsembleClassifier method) (evalml.pipelines.components.StackedEnsembleRegressor method) (evalml.pipelines.components.StandardScaler method) (evalml.pipelines.components.TargetEncoder method) (evalml.pipelines.components.TextFeaturizer method) (evalml.pipelines.components.TimeSeriesBaselineRegressor method) (evalml.pipelines.components.Transformer method) (evalml.pipelines.components.XGBoostClassifier method) (evalml.pipelines.components.XGBoostRegressor method) (evalml.pipelines.MeanBaselineRegressionPipeline method) (evalml.pipelines.ModeBaselineBinaryPipeline method) (evalml.pipelines.ModeBaselineMulticlassPipeline method) (evalml.pipelines.MulticlassClassificationPipeline method) (evalml.pipelines.PipelineBase method) (evalml.pipelines.RegressionPipeline method) (evalml.pipelines.TimeSeriesBaselineRegressionPipeline method) (evalml.pipelines.TimeSeriesBinaryClassificationPipeline method) (evalml.pipelines.TimeSeriesClassificationPipeline method) (evalml.pipelines.TimeSeriesMulticlassClassificationPipeline method) (evalml.pipelines.TimeSeriesRegressionPipeline method) (evalml.tuners.GridSearchTuner method) (evalml.tuners.RandomSearchTuner method) (evalml.tuners.SKOptTuner method) (evalml.tuners.Tuner method)

__str__() (evalml.data_checks.DataCheckError method) (evalml.data_checks.DataCheckMessage method) (evalml.data_checks.DataCheckWarning method)

A

AccuracyBinary (class in evalml.objectives) AccuracyMulticlass (class in evalml.objectives) add() (evalml.tuners.GridSearchTuner method) (evalml.tuners.RandomSearchTuner method) (evalml.tuners.SKOptTuner method) (evalml.tuners.Tuner method) add_result() (evalml.automl.automl_algorithm.AutoMLAlgorithm method) (evalml.automl.automl_algorithm.IterativeAlgorithm method)

add_to_rankings() (evalml.automl.AutoMLSearch method) allowed_model_families() (in module evalml.pipelines.components.utils) AUC (class in evalml.objectives) AUCMacro (class in evalml.objectives) AUCMicro (class in evalml.objectives) AUCWeighted (class in evalml.objectives) AutoMLAlgorithm (class in evalml.automl.automl_algorithm) AutoMLSearch (class in evalml.automl)

B

BalancedAccuracyBinary (class in evalml.objectives) BalancedAccuracyMulticlass (class in evalml.objectives) BaselineBinaryPipeline (class in evalml.pipelines) BaselineClassifier (class in evalml.pipelines.components) BaselineMulticlassPipeline (class in evalml.pipelines)

BaselineRegressionPipeline (class in evalml.pipelines) BaselineRegressor (class in evalml.pipelines.components) binary_objective_vs_threshold() (in module evalml.model_understanding) BinaryClassificationObjective (class in evalml.objectives) BinaryClassificationPipeline (class in evalml.pipelines)

C

calculate_percent_difference() (evalml.objectives.AccuracyBinary class method) (evalml.objectives.AccuracyMulticlass class method) (evalml.objectives.AUC class method) (evalml.objectives.AUCMacro class method) (evalml.objectives.AUCMicro class method) (evalml.objectives.AUCWeighted class method) (evalml.objectives.BalancedAccuracyBinary class method) (evalml.objectives.BalancedAccuracyMulticlass class method) (evalml.objectives.BinaryClassificationObjective class method) (evalml.objectives.CostBenefitMatrix class method) (evalml.objectives.ExpVariance class method) (evalml.objectives.F1 class method) (evalml.objectives.F1Macro class method) (evalml.objectives.F1Micro class method) (evalml.objectives.F1Weighted class method) (evalml.objectives.FraudCost class method) (evalml.objectives.LeadScoring class method) (evalml.objectives.LogLossBinary class method) (evalml.objectives.LogLossMulticlass class method) (evalml.objectives.MAE class method) (evalml.objectives.MAPE class method) (evalml.objectives.MaxError class method) (evalml.objectives.MCCBinary class method) (evalml.objectives.MCCMulticlass class method) (evalml.objectives.MeanSquaredLogError class method) (evalml.objectives.MedianAE class method) (evalml.objectives.MSE class method) (evalml.objectives.MulticlassClassificationObjective class method) (evalml.objectives.ObjectiveBase class method) (evalml.objectives.Precision class method) (evalml.objectives.PrecisionMacro class method) (evalml.objectives.PrecisionMicro class method) (evalml.objectives.PrecisionWeighted class method) (evalml.objectives.R2 class method) (evalml.objectives.Recall class method) (evalml.objectives.RecallMacro class method) (evalml.objectives.RecallMicro class method) (evalml.objectives.RecallWeighted class method) (evalml.objectives.RegressionObjective class method) (evalml.objectives.RootMeanSquaredError class method) (evalml.objectives.RootMeanSquaredLogError class method) calculate_permutation_importance() (in module evalml.model_understanding) CatBoostClassifier (class in evalml.pipelines.components) CatBoostRegressor (class in evalml.pipelines.components) categories() (evalml.pipelines.components.OneHotEncoder method) ClassificationPipeline (class in evalml.pipelines) ClassImbalanceDataCheck (class in evalml.data_checks) clone() (evalml.pipelines.BaselineBinaryPipeline method) (evalml.pipelines.BaselineMulticlassPipeline method) (evalml.pipelines.BaselineRegressionPipeline method) (evalml.pipelines.BinaryClassificationPipeline method) (evalml.pipelines.ClassificationPipeline method) (evalml.pipelines.components.BaselineClassifier method) (evalml.pipelines.components.BaselineRegressor method) (evalml.pipelines.components.CatBoostClassifier method) (evalml.pipelines.components.CatBoostRegressor method) (evalml.pipelines.components.ComponentBase method) (evalml.pipelines.components.DateTimeFeaturizer method) (evalml.pipelines.components.DecisionTreeClassifier method) (evalml.pipelines.components.DecisionTreeRegressor method) (evalml.pipelines.components.DelayedFeatureTransformer method) (evalml.pipelines.components.DFSTransformer method) (evalml.pipelines.components.DropColumns method) (evalml.pipelines.components.DropNullColumns method) (evalml.pipelines.components.ElasticNetClassifier method) (evalml.pipelines.components.ElasticNetRegressor method) (evalml.pipelines.components.Estimator method) (evalml.pipelines.components.ExtraTreesClassifier method) (evalml.pipelines.components.ExtraTreesRegressor method) (evalml.pipelines.components.Imputer method) (evalml.pipelines.components.LightGBMClassifier method) (evalml.pipelines.components.LightGBMRegressor method) (evalml.pipelines.components.LinearRegressor method) (evalml.pipelines.components.LogisticRegressionClassifier method) (evalml.pipelines.components.OneHotEncoder method) (evalml.pipelines.components.PerColumnImputer method) (evalml.pipelines.components.RandomForestClassifier method) (evalml.pipelines.components.RandomForestRegressor method) (evalml.pipelines.components.RFClassifierSelectFromModel method) (evalml.pipelines.components.RFRegressorSelectFromModel method) (evalml.pipelines.components.SelectColumns method) (evalml.pipelines.components.SimpleImputer method) (evalml.pipelines.components.StackedEnsembleClassifier method) (evalml.pipelines.components.StackedEnsembleRegressor method) (evalml.pipelines.components.StandardScaler method) (evalml.pipelines.components.TargetEncoder method) (evalml.pipelines.components.TextFeaturizer method) (evalml.pipelines.components.TimeSeriesBaselineRegressor method) (evalml.pipelines.components.Transformer method) (evalml.pipelines.components.XGBoostClassifier method) (evalml.pipelines.components.XGBoostRegressor method) (evalml.pipelines.MeanBaselineRegressionPipeline method) (evalml.pipelines.ModeBaselineBinaryPipeline method) (evalml.pipelines.ModeBaselineMulticlassPipeline method) (evalml.pipelines.MulticlassClassificationPipeline method) (evalml.pipelines.PipelineBase method) (evalml.pipelines.RegressionPipeline method) (evalml.pipelines.TimeSeriesBaselineRegressionPipeline method) (evalml.pipelines.TimeSeriesBinaryClassificationPipeline method) (evalml.pipelines.TimeSeriesClassificationPipeline method) (evalml.pipelines.TimeSeriesMulticlassClassificationPipeline method) (evalml.pipelines.TimeSeriesRegressionPipeline method)

component_graph (evalml.pipelines.BaselineBinaryPipeline attribute) (evalml.pipelines.BaselineMulticlassPipeline attribute) (evalml.pipelines.BaselineRegressionPipeline attribute) (evalml.pipelines.MeanBaselineRegressionPipeline attribute) (evalml.pipelines.ModeBaselineBinaryPipeline attribute) (evalml.pipelines.ModeBaselineMulticlassPipeline attribute) (evalml.pipelines.TimeSeriesBaselineRegressionPipeline attribute) ComponentBase (class in evalml.pipelines.components) compute_estimator_features() (evalml.pipelines.BaselineBinaryPipeline method) (evalml.pipelines.BaselineMulticlassPipeline method) (evalml.pipelines.BaselineRegressionPipeline method) (evalml.pipelines.BinaryClassificationPipeline method) (evalml.pipelines.ClassificationPipeline method) (evalml.pipelines.MeanBaselineRegressionPipeline method) (evalml.pipelines.ModeBaselineBinaryPipeline method) (evalml.pipelines.ModeBaselineMulticlassPipeline method) (evalml.pipelines.MulticlassClassificationPipeline method) (evalml.pipelines.PipelineBase method) (evalml.pipelines.RegressionPipeline method) (evalml.pipelines.TimeSeriesBaselineRegressionPipeline method) (evalml.pipelines.TimeSeriesBinaryClassificationPipeline method) (evalml.pipelines.TimeSeriesClassificationPipeline method) (evalml.pipelines.TimeSeriesMulticlassClassificationPipeline method) (evalml.pipelines.TimeSeriesRegressionPipeline method) confusion_matrix() (in module evalml.model_understanding) convert_to_seconds() (in module evalml.utils) CostBenefitMatrix (class in evalml.objectives) custom_hyperparameters (evalml.pipelines.BaselineBinaryPipeline attribute) (evalml.pipelines.BaselineMulticlassPipeline attribute) (evalml.pipelines.BaselineRegressionPipeline attribute) (evalml.pipelines.MeanBaselineRegressionPipeline attribute) (evalml.pipelines.ModeBaselineBinaryPipeline attribute) (evalml.pipelines.ModeBaselineMulticlassPipeline attribute) (evalml.pipelines.TimeSeriesBaselineRegressionPipeline attribute) custom_name (evalml.pipelines.BaselineBinaryPipeline attribute) (evalml.pipelines.BaselineMulticlassPipeline attribute) (evalml.pipelines.BaselineRegressionPipeline attribute) (evalml.pipelines.BinaryClassificationPipeline attribute) (evalml.pipelines.ClassificationPipeline attribute) (evalml.pipelines.MeanBaselineRegressionPipeline attribute) (evalml.pipelines.ModeBaselineBinaryPipeline attribute) (evalml.pipelines.ModeBaselineMulticlassPipeline attribute) (evalml.pipelines.MulticlassClassificationPipeline attribute) (evalml.pipelines.PipelineBase attribute) (evalml.pipelines.RegressionPipeline attribute) (evalml.pipelines.TimeSeriesBaselineRegressionPipeline attribute) (evalml.pipelines.TimeSeriesBinaryClassificationPipeline attribute) (evalml.pipelines.TimeSeriesClassificationPipeline attribute) (evalml.pipelines.TimeSeriesMulticlassClassificationPipeline attribute) (evalml.pipelines.TimeSeriesRegressionPipeline attribute)

D

DataCheck (class in evalml.data_checks) DataCheckError (class in evalml.data_checks) DataCheckMessage (class in evalml.data_checks) DataCheckMessageCode (class in evalml.data_checks) DataCheckMessageType (class in evalml.data_checks) DataChecks (class in evalml.data_checks) DataCheckWarning (class in evalml.data_checks) DateTimeFeaturizer (class in evalml.pipelines.components) decision_function() (evalml.objectives.AccuracyBinary method) (evalml.objectives.AUC method) (evalml.objectives.BalancedAccuracyBinary method) (evalml.objectives.BinaryClassificationObjective method) (evalml.objectives.CostBenefitMatrix method) (evalml.objectives.F1 method) (evalml.objectives.FraudCost method) (evalml.objectives.LeadScoring method) (evalml.objectives.LogLossBinary method) (evalml.objectives.MCCBinary method) (evalml.objectives.Precision method) (evalml.objectives.Recall method) DecisionTreeClassifier (class in evalml.pipelines.components) DecisionTreeRegressor (class in evalml.pipelines.components) default_parameters (evalml.pipelines.BaselineBinaryPipeline attribute) (evalml.pipelines.BaselineMulticlassPipeline attribute) (evalml.pipelines.BaselineRegressionPipeline attribute) (evalml.pipelines.components.BaselineClassifier attribute) (evalml.pipelines.components.BaselineRegressor attribute) (evalml.pipelines.components.CatBoostClassifier attribute) (evalml.pipelines.components.CatBoostRegressor attribute) (evalml.pipelines.components.DateTimeFeaturizer attribute) (evalml.pipelines.components.DecisionTreeClassifier attribute) (evalml.pipelines.components.DecisionTreeRegressor attribute) (evalml.pipelines.components.DelayedFeatureTransformer attribute) (evalml.pipelines.components.DFSTransformer attribute) (evalml.pipelines.components.DropColumns attribute) (evalml.pipelines.components.DropNullColumns attribute) (evalml.pipelines.components.ElasticNetClassifier attribute) (evalml.pipelines.components.ElasticNetRegressor attribute) (evalml.pipelines.components.ExtraTreesClassifier attribute) (evalml.pipelines.components.ExtraTreesRegressor attribute) (evalml.pipelines.components.Imputer attribute) (evalml.pipelines.components.LightGBMClassifier attribute) (evalml.pipelines.components.LightGBMRegressor attribute) (evalml.pipelines.components.LinearRegressor attribute) (evalml.pipelines.components.LogisticRegressionClassifier attribute) (evalml.pipelines.components.OneHotEncoder attribute) (evalml.pipelines.components.PerColumnImputer attribute) (evalml.pipelines.components.RandomForestClassifier attribute) (evalml.pipelines.components.RandomForestRegressor attribute) (evalml.pipelines.components.RFClassifierSelectFromModel attribute) (evalml.pipelines.components.RFRegressorSelectFromModel attribute) (evalml.pipelines.components.SelectColumns attribute) (evalml.pipelines.components.SimpleImputer attribute) (evalml.pipelines.components.StackedEnsembleClassifier attribute) (evalml.pipelines.components.StackedEnsembleRegressor attribute) (evalml.pipelines.components.StandardScaler attribute) (evalml.pipelines.components.TargetEncoder attribute) (evalml.pipelines.components.TextFeaturizer attribute) (evalml.pipelines.components.TimeSeriesBaselineRegressor attribute) (evalml.pipelines.components.XGBoostClassifier attribute) (evalml.pipelines.components.XGBoostRegressor attribute) (evalml.pipelines.MeanBaselineRegressionPipeline attribute) (evalml.pipelines.ModeBaselineBinaryPipeline attribute) (evalml.pipelines.ModeBaselineMulticlassPipeline attribute) (evalml.pipelines.TimeSeriesBaselineRegressionPipeline attribute)

DefaultDataChecks (class in evalml.data_checks) DelayedFeatureTransformer (class in evalml.pipelines.components) describe() (evalml.pipelines.BaselineBinaryPipeline method) (evalml.pipelines.BaselineMulticlassPipeline method) (evalml.pipelines.BaselineRegressionPipeline method) (evalml.pipelines.BinaryClassificationPipeline method) (evalml.pipelines.ClassificationPipeline method) (evalml.pipelines.components.BaselineClassifier method) (evalml.pipelines.components.BaselineRegressor method) (evalml.pipelines.components.CatBoostClassifier method) (evalml.pipelines.components.CatBoostRegressor method) (evalml.pipelines.components.ComponentBase method) (evalml.pipelines.components.DateTimeFeaturizer method) (evalml.pipelines.components.DecisionTreeClassifier method) (evalml.pipelines.components.DecisionTreeRegressor method) (evalml.pipelines.components.DelayedFeatureTransformer method) (evalml.pipelines.components.DFSTransformer method) (evalml.pipelines.components.DropColumns method) (evalml.pipelines.components.DropNullColumns method) (evalml.pipelines.components.ElasticNetClassifier method) (evalml.pipelines.components.ElasticNetRegressor method) (evalml.pipelines.components.Estimator method) (evalml.pipelines.components.ExtraTreesClassifier method) (evalml.pipelines.components.ExtraTreesRegressor method) (evalml.pipelines.components.Imputer method) (evalml.pipelines.components.LightGBMClassifier method) (evalml.pipelines.components.LightGBMRegressor method) (evalml.pipelines.components.LinearRegressor method) (evalml.pipelines.components.LogisticRegressionClassifier method) (evalml.pipelines.components.OneHotEncoder method) (evalml.pipelines.components.PerColumnImputer method) (evalml.pipelines.components.RandomForestClassifier method) (evalml.pipelines.components.RandomForestRegressor method) (evalml.pipelines.components.RFClassifierSelectFromModel method) (evalml.pipelines.components.RFRegressorSelectFromModel method) (evalml.pipelines.components.SelectColumns method) (evalml.pipelines.components.SimpleImputer method) (evalml.pipelines.components.StackedEnsembleClassifier method) (evalml.pipelines.components.StackedEnsembleRegressor method) (evalml.pipelines.components.StandardScaler method) (evalml.pipelines.components.TargetEncoder method) (evalml.pipelines.components.TextFeaturizer method) (evalml.pipelines.components.TimeSeriesBaselineRegressor method) (evalml.pipelines.components.Transformer method) (evalml.pipelines.components.XGBoostClassifier method) (evalml.pipelines.components.XGBoostRegressor method) (evalml.pipelines.MeanBaselineRegressionPipeline method) (evalml.pipelines.ModeBaselineBinaryPipeline method) (evalml.pipelines.ModeBaselineMulticlassPipeline method) (evalml.pipelines.MulticlassClassificationPipeline method) (evalml.pipelines.PipelineBase method) (evalml.pipelines.RegressionPipeline method) (evalml.pipelines.TimeSeriesBaselineRegressionPipeline method) (evalml.pipelines.TimeSeriesBinaryClassificationPipeline method) (evalml.pipelines.TimeSeriesClassificationPipeline method) (evalml.pipelines.TimeSeriesMulticlassClassificationPipeline method) (evalml.pipelines.TimeSeriesRegressionPipeline method) describe_pipeline() (evalml.automl.AutoMLSearch method) detect_problem_type() (in module evalml.problem_types) DFSTransformer (class in evalml.pipelines.components) drop_nan_target_rows() (in module evalml.preprocessing) drop_rows_with_nans() (in module evalml.utils) DropColumns (class in evalml.pipelines.components) DropNullColumns (class in evalml.pipelines.components)

E

ElasticNetClassifier (class in evalml.pipelines.components) ElasticNetRegressor (class in evalml.pipelines.components) Estimator (class in evalml.pipelines.components) explain_prediction() (in module evalml.model_understanding.prediction_explanations)

explain_predictions() (in module evalml.model_understanding.prediction_explanations) explain_predictions_best_worst() (in module evalml.model_understanding.prediction_explanations) ExpVariance (class in evalml.objectives) ExtraTreesClassifier (class in evalml.pipelines.components) ExtraTreesRegressor (class in evalml.pipelines.components)

F

F1 (class in evalml.objectives) F1Macro (class in evalml.objectives) F1Micro (class in evalml.objectives) F1Weighted (class in evalml.objectives) fit() (evalml.pipelines.BaselineBinaryPipeline method) (evalml.pipelines.BaselineMulticlassPipeline method) (evalml.pipelines.BaselineRegressionPipeline method) (evalml.pipelines.BinaryClassificationPipeline method) (evalml.pipelines.ClassificationPipeline method) (evalml.pipelines.components.BaselineClassifier method) (evalml.pipelines.components.BaselineRegressor method) (evalml.pipelines.components.CatBoostClassifier method) (evalml.pipelines.components.CatBoostRegressor method) (evalml.pipelines.components.ComponentBase method) (evalml.pipelines.components.DateTimeFeaturizer method) (evalml.pipelines.components.DecisionTreeClassifier method) (evalml.pipelines.components.DecisionTreeRegressor method) (evalml.pipelines.components.DelayedFeatureTransformer method) (evalml.pipelines.components.DFSTransformer method) (evalml.pipelines.components.DropColumns method) (evalml.pipelines.components.DropNullColumns method) (evalml.pipelines.components.ElasticNetClassifier method) (evalml.pipelines.components.ElasticNetRegressor method) (evalml.pipelines.components.Estimator method) (evalml.pipelines.components.ExtraTreesClassifier method) (evalml.pipelines.components.ExtraTreesRegressor method) (evalml.pipelines.components.Imputer method) (evalml.pipelines.components.LightGBMClassifier method) (evalml.pipelines.components.LightGBMRegressor method) (evalml.pipelines.components.LinearRegressor method) (evalml.pipelines.components.LogisticRegressionClassifier method) (evalml.pipelines.components.OneHotEncoder method) (evalml.pipelines.components.PerColumnImputer method) (evalml.pipelines.components.RandomForestClassifier method) (evalml.pipelines.components.RandomForestRegressor method) (evalml.pipelines.components.RFClassifierSelectFromModel method) (evalml.pipelines.components.RFRegressorSelectFromModel method) (evalml.pipelines.components.SelectColumns method) (evalml.pipelines.components.SimpleImputer method) (evalml.pipelines.components.StackedEnsembleClassifier method) (evalml.pipelines.components.StackedEnsembleRegressor method) (evalml.pipelines.components.StandardScaler method) (evalml.pipelines.components.TargetEncoder method) (evalml.pipelines.components.TextFeaturizer method) (evalml.pipelines.components.TimeSeriesBaselineRegressor method) (evalml.pipelines.components.Transformer method) (evalml.pipelines.components.XGBoostClassifier method) (evalml.pipelines.components.XGBoostRegressor method) (evalml.pipelines.MeanBaselineRegressionPipeline method) (evalml.pipelines.ModeBaselineBinaryPipeline method) (evalml.pipelines.ModeBaselineMulticlassPipeline method) (evalml.pipelines.MulticlassClassificationPipeline method) (evalml.pipelines.PipelineBase method) (evalml.pipelines.RegressionPipeline method) (evalml.pipelines.TimeSeriesBaselineRegressionPipeline method) (evalml.pipelines.TimeSeriesBinaryClassificationPipeline method) (evalml.pipelines.TimeSeriesClassificationPipeline method) (evalml.pipelines.TimeSeriesMulticlassClassificationPipeline method) (evalml.pipelines.TimeSeriesRegressionPipeline method)

fit_transform() (evalml.pipelines.components.DateTimeFeaturizer method) (evalml.pipelines.components.DelayedFeatureTransformer method) (evalml.pipelines.components.DFSTransformer method) (evalml.pipelines.components.DropColumns method) (evalml.pipelines.components.DropNullColumns method) (evalml.pipelines.components.Imputer method) (evalml.pipelines.components.OneHotEncoder method) (evalml.pipelines.components.PerColumnImputer method) (evalml.pipelines.components.RFClassifierSelectFromModel method) (evalml.pipelines.components.RFRegressorSelectFromModel method) (evalml.pipelines.components.SelectColumns method) (evalml.pipelines.components.SimpleImputer method) (evalml.pipelines.components.StandardScaler method) (evalml.pipelines.components.TargetEncoder method) (evalml.pipelines.components.TextFeaturizer method) (evalml.pipelines.components.Transformer method) FraudCost (class in evalml.objectives)

G

generate_component_code() (in module evalml.pipelines.components.utils) generate_pipeline_code() (in module evalml.pipelines.utils) get_all_objective_names() (in module evalml.objectives) get_component() (evalml.pipelines.BaselineBinaryPipeline method) (evalml.pipelines.BaselineMulticlassPipeline method) (evalml.pipelines.BaselineRegressionPipeline method) (evalml.pipelines.BinaryClassificationPipeline method) (evalml.pipelines.ClassificationPipeline method) (evalml.pipelines.MeanBaselineRegressionPipeline method) (evalml.pipelines.ModeBaselineBinaryPipeline method) (evalml.pipelines.ModeBaselineMulticlassPipeline method) (evalml.pipelines.MulticlassClassificationPipeline method) (evalml.pipelines.PipelineBase method) (evalml.pipelines.RegressionPipeline method) (evalml.pipelines.TimeSeriesBaselineRegressionPipeline method) (evalml.pipelines.TimeSeriesBinaryClassificationPipeline method) (evalml.pipelines.TimeSeriesClassificationPipeline method) (evalml.pipelines.TimeSeriesMulticlassClassificationPipeline method) (evalml.pipelines.TimeSeriesRegressionPipeline method) get_core_objective_names() (in module evalml.objectives) get_core_objectives() (in module evalml.objectives) get_default_primary_search_objective() (in module evalml.automl) get_estimators() (in module evalml.pipelines.components.utils) get_feature_names() (evalml.pipelines.components.DateTimeFeaturizer method) (evalml.pipelines.components.OneHotEncoder method) (evalml.pipelines.components.TargetEncoder method) get_names() (evalml.pipelines.components.RFClassifierSelectFromModel method) (evalml.pipelines.components.RFRegressorSelectFromModel method) get_non_core_objectives() (in module evalml.objectives) get_objective() (in module evalml.objectives) get_pipeline() (evalml.automl.AutoMLSearch method) get_prediction_vs_actual_data() (in module evalml.model_understanding) get_prediction_vs_actual_over_time_data() (in module evalml.model_understanding) get_random_seed() (in module evalml.utils) get_random_state() (in module evalml.utils) graph() (evalml.pipelines.BaselineBinaryPipeline method) (evalml.pipelines.BaselineMulticlassPipeline method) (evalml.pipelines.BaselineRegressionPipeline method) (evalml.pipelines.BinaryClassificationPipeline method) (evalml.pipelines.ClassificationPipeline method) (evalml.pipelines.MeanBaselineRegressionPipeline method) (evalml.pipelines.ModeBaselineBinaryPipeline method) (evalml.pipelines.ModeBaselineMulticlassPipeline method) (evalml.pipelines.MulticlassClassificationPipeline method) (evalml.pipelines.PipelineBase method) (evalml.pipelines.RegressionPipeline method) (evalml.pipelines.TimeSeriesBaselineRegressionPipeline method) (evalml.pipelines.TimeSeriesBinaryClassificationPipeline method) (evalml.pipelines.TimeSeriesClassificationPipeline method) (evalml.pipelines.TimeSeriesMulticlassClassificationPipeline method) (evalml.pipelines.TimeSeriesRegressionPipeline method)

graph_binary_objective_vs_threshold() (in module evalml.model_understanding) graph_confusion_matrix() (in module evalml.model_understanding) graph_feature_importance() (evalml.pipelines.BaselineBinaryPipeline method) (evalml.pipelines.BaselineMulticlassPipeline method) (evalml.pipelines.BaselineRegressionPipeline method) (evalml.pipelines.BinaryClassificationPipeline method) (evalml.pipelines.ClassificationPipeline method) (evalml.pipelines.MeanBaselineRegressionPipeline method) (evalml.pipelines.ModeBaselineBinaryPipeline method) (evalml.pipelines.ModeBaselineMulticlassPipeline method) (evalml.pipelines.MulticlassClassificationPipeline method) (evalml.pipelines.PipelineBase method) (evalml.pipelines.RegressionPipeline method) (evalml.pipelines.TimeSeriesBaselineRegressionPipeline method) (evalml.pipelines.TimeSeriesBinaryClassificationPipeline method) (evalml.pipelines.TimeSeriesClassificationPipeline method) (evalml.pipelines.TimeSeriesMulticlassClassificationPipeline method) (evalml.pipelines.TimeSeriesRegressionPipeline method) graph_partial_dependence() (in module evalml.model_understanding) graph_permutation_importance() (in module evalml.model_understanding) graph_precision_recall_curve() (in module evalml.model_understanding) graph_prediction_vs_actual() (in module evalml.model_understanding) graph_prediction_vs_actual_over_time() (in module evalml.model_understanding) graph_roc_curve() (in module evalml.model_understanding) GridSearchTuner (class in evalml.tuners)

H

handle_model_family() (in module evalml.model_family) handle_problem_types() (in module evalml.problem_types) HighlyNullDataCheck (class in evalml.data_checks) hyperparameter_ranges (evalml.pipelines.components.BaselineClassifier attribute) (evalml.pipelines.components.BaselineRegressor attribute) (evalml.pipelines.components.CatBoostClassifier attribute) (evalml.pipelines.components.CatBoostRegressor attribute) (evalml.pipelines.components.DateTimeFeaturizer attribute) (evalml.pipelines.components.DecisionTreeClassifier attribute) (evalml.pipelines.components.DecisionTreeRegressor attribute) (evalml.pipelines.components.DelayedFeatureTransformer attribute) (evalml.pipelines.components.DFSTransformer attribute) (evalml.pipelines.components.DropColumns attribute) (evalml.pipelines.components.DropNullColumns attribute) (evalml.pipelines.components.ElasticNetClassifier attribute) (evalml.pipelines.components.ElasticNetRegressor attribute) (evalml.pipelines.components.ExtraTreesClassifier attribute) (evalml.pipelines.components.ExtraTreesRegressor attribute) (evalml.pipelines.components.Imputer attribute) (evalml.pipelines.components.LightGBMClassifier attribute) (evalml.pipelines.components.LightGBMRegressor attribute) (evalml.pipelines.components.LinearRegressor attribute) (evalml.pipelines.components.LogisticRegressionClassifier attribute) (evalml.pipelines.components.OneHotEncoder attribute) (evalml.pipelines.components.PerColumnImputer attribute) (evalml.pipelines.components.RandomForestClassifier attribute) (evalml.pipelines.components.RandomForestRegressor attribute) (evalml.pipelines.components.RFClassifierSelectFromModel attribute) (evalml.pipelines.components.RFRegressorSelectFromModel attribute) (evalml.pipelines.components.SelectColumns attribute) (evalml.pipelines.components.SimpleImputer attribute) (evalml.pipelines.components.StackedEnsembleClassifier attribute) (evalml.pipelines.components.StackedEnsembleRegressor attribute) (evalml.pipelines.components.StandardScaler attribute) (evalml.pipelines.components.TargetEncoder attribute) (evalml.pipelines.components.TextFeaturizer attribute) (evalml.pipelines.components.TimeSeriesBaselineRegressor attribute) (evalml.pipelines.components.XGBoostClassifier attribute) (evalml.pipelines.components.XGBoostRegressor attribute)

hyperparameters (evalml.pipelines.BaselineBinaryPipeline attribute) (evalml.pipelines.BaselineMulticlassPipeline attribute) (evalml.pipelines.BaselineRegressionPipeline attribute) (evalml.pipelines.MeanBaselineRegressionPipeline attribute) (evalml.pipelines.ModeBaselineBinaryPipeline attribute) (evalml.pipelines.ModeBaselineMulticlassPipeline attribute) (evalml.pipelines.TimeSeriesBaselineRegressionPipeline attribute)

I

IDColumnsDataCheck (class in evalml.data_checks) import_or_raise() (in module evalml.utils) Imputer (class in evalml.pipelines.components) infer_feature_types() (in module evalml.utils) InvalidTargetDataCheck (class in evalml.data_checks) is_defined_for_problem_type() (evalml.objectives.AccuracyBinary class method) (evalml.objectives.AccuracyMulticlass class method) (evalml.objectives.AUC class method) (evalml.objectives.AUCMacro class method) (evalml.objectives.AUCMicro class method) (evalml.objectives.AUCWeighted class method) (evalml.objectives.BalancedAccuracyBinary class method) (evalml.objectives.BalancedAccuracyMulticlass class method) (evalml.objectives.BinaryClassificationObjective class method) (evalml.objectives.CostBenefitMatrix class method) (evalml.objectives.ExpVariance class method) (evalml.objectives.F1 class method) (evalml.objectives.F1Macro class method) (evalml.objectives.F1Micro class method) (evalml.objectives.F1Weighted class method) (evalml.objectives.FraudCost class method) (evalml.objectives.LeadScoring class method) (evalml.objectives.LogLossBinary class method) (evalml.objectives.LogLossMulticlass class method) (evalml.objectives.MAE class method) (evalml.objectives.MAPE class method) (evalml.objectives.MaxError class method) (evalml.objectives.MCCBinary class method) (evalml.objectives.MCCMulticlass class method) (evalml.objectives.MeanSquaredLogError class method) (evalml.objectives.MedianAE class method) (evalml.objectives.MSE class method) (evalml.objectives.MulticlassClassificationObjective class method) (evalml.objectives.ObjectiveBase class method) (evalml.objectives.Precision class method) (evalml.objectives.PrecisionMacro class method) (evalml.objectives.PrecisionMicro class method) (evalml.objectives.PrecisionWeighted class method) (evalml.objectives.R2 class method) (evalml.objectives.Recall class method) (evalml.objectives.RecallMacro class method) (evalml.objectives.RecallMicro class method) (evalml.objectives.RecallWeighted class method) (evalml.objectives.RegressionObjective class method) (evalml.objectives.RootMeanSquaredError class method) (evalml.objectives.RootMeanSquaredLogError class method)

is_search_space_exhausted() (evalml.tuners.GridSearchTuner method) (evalml.tuners.RandomSearchTuner method) (evalml.tuners.SKOptTuner method) (evalml.tuners.Tuner method) IterativeAlgorithm (class in evalml.automl.automl_algorithm)

L

LeadScoring (class in evalml.objectives) LightGBMClassifier (class in evalml.pipelines.components) LightGBMRegressor (class in evalml.pipelines.components) LinearRegressor (class in evalml.pipelines.components) load() (evalml.automl.AutoMLSearch static method) (evalml.pipelines.BaselineBinaryPipeline static method) (evalml.pipelines.BaselineMulticlassPipeline static method) (evalml.pipelines.BaselineRegressionPipeline static method) (evalml.pipelines.BinaryClassificationPipeline static method) (evalml.pipelines.ClassificationPipeline static method) (evalml.pipelines.components.BaselineClassifier static method) (evalml.pipelines.components.BaselineRegressor static method) (evalml.pipelines.components.CatBoostClassifier static method) (evalml.pipelines.components.CatBoostRegressor static method) (evalml.pipelines.components.ComponentBase static method) (evalml.pipelines.components.DateTimeFeaturizer static method) (evalml.pipelines.components.DecisionTreeClassifier static method) (evalml.pipelines.components.DecisionTreeRegressor static method) (evalml.pipelines.components.DelayedFeatureTransformer static method) (evalml.pipelines.components.DFSTransformer static method) (evalml.pipelines.components.DropColumns static method) (evalml.pipelines.components.DropNullColumns static method) (evalml.pipelines.components.ElasticNetClassifier static method) (evalml.pipelines.components.ElasticNetRegressor static method) (evalml.pipelines.components.Estimator static method) (evalml.pipelines.components.ExtraTreesClassifier static method) (evalml.pipelines.components.ExtraTreesRegressor static method) (evalml.pipelines.components.Imputer static method) (evalml.pipelines.components.LightGBMClassifier static method) (evalml.pipelines.components.LightGBMRegressor static method) (evalml.pipelines.components.LinearRegressor static method) (evalml.pipelines.components.LogisticRegressionClassifier static method) (evalml.pipelines.components.OneHotEncoder static method) (evalml.pipelines.components.PerColumnImputer static method) (evalml.pipelines.components.RandomForestClassifier static method) (evalml.pipelines.components.RandomForestRegressor static method) (evalml.pipelines.components.RFClassifierSelectFromModel static method) (evalml.pipelines.components.RFRegressorSelectFromModel static method) (evalml.pipelines.components.SelectColumns static method) (evalml.pipelines.components.SimpleImputer static method) (evalml.pipelines.components.StackedEnsembleClassifier static method) (evalml.pipelines.components.StackedEnsembleRegressor static method) (evalml.pipelines.components.StandardScaler static method) (evalml.pipelines.components.TargetEncoder static method) (evalml.pipelines.components.TextFeaturizer static method) (evalml.pipelines.components.TimeSeriesBaselineRegressor static method) (evalml.pipelines.components.Transformer static method) (evalml.pipelines.components.XGBoostClassifier static method) (evalml.pipelines.components.XGBoostRegressor static method) (evalml.pipelines.MeanBaselineRegressionPipeline static method) (evalml.pipelines.ModeBaselineBinaryPipeline static method) (evalml.pipelines.ModeBaselineMulticlassPipeline static method) (evalml.pipelines.MulticlassClassificationPipeline static method) (evalml.pipelines.PipelineBase static method) (evalml.pipelines.RegressionPipeline static method) (evalml.pipelines.TimeSeriesBaselineRegressionPipeline static method) (evalml.pipelines.TimeSeriesBinaryClassificationPipeline static method) (evalml.pipelines.TimeSeriesClassificationPipeline static method) (evalml.pipelines.TimeSeriesMulticlassClassificationPipeline static method) (evalml.pipelines.TimeSeriesRegressionPipeline static method)

load_breast_cancer() (in module evalml.demos) load_churn() (in module evalml.demos) load_data() (in module evalml.preprocessing) load_diabetes() (in module evalml.demos) load_fraud() (in module evalml.demos) load_wine() (in module evalml.demos) log_and_save_error_callback() (in module evalml.automl.callbacks) log_error_callback() (in module evalml.automl.callbacks) LogisticRegressionClassifier (class in evalml.pipelines.components) LogLossBinary (class in evalml.objectives) LogLossMulticlass (class in evalml.objectives)

M

MAE (class in evalml.objectives) make_data_splitter() (in module evalml.automl) make_pipeline() (in module evalml.pipelines.utils) make_pipeline_from_components() (in module evalml.pipelines.utils) MAPE (class in evalml.objectives) MaxError (class in evalml.objectives) MCCBinary (class in evalml.objectives) MCCMulticlass (class in evalml.objectives) MeanBaselineRegressionPipeline (class in evalml.pipelines) MeanSquaredLogError (class in evalml.objectives) MedianAE (class in evalml.objectives) message_type (evalml.data_checks.DataCheckError attribute) (evalml.data_checks.DataCheckMessage attribute) (evalml.data_checks.DataCheckWarning attribute) ModeBaselineBinaryPipeline (class in evalml.pipelines) ModeBaselineMulticlassPipeline (class in evalml.pipelines) model_family (evalml.pipelines.BaselineBinaryPipeline attribute) (evalml.pipelines.BaselineMulticlassPipeline attribute) (evalml.pipelines.BaselineRegressionPipeline attribute) (evalml.pipelines.components.BaselineClassifier attribute) (evalml.pipelines.components.BaselineRegressor attribute) (evalml.pipelines.components.CatBoostClassifier attribute) (evalml.pipelines.components.CatBoostRegressor attribute) (evalml.pipelines.components.DateTimeFeaturizer attribute) (evalml.pipelines.components.DecisionTreeClassifier attribute) (evalml.pipelines.components.DecisionTreeRegressor attribute) (evalml.pipelines.components.DelayedFeatureTransformer attribute) (evalml.pipelines.components.DFSTransformer attribute) (evalml.pipelines.components.DropColumns attribute) (evalml.pipelines.components.DropNullColumns attribute) (evalml.pipelines.components.ElasticNetClassifier attribute) (evalml.pipelines.components.ElasticNetRegressor attribute) (evalml.pipelines.components.ExtraTreesClassifier attribute) (evalml.pipelines.components.ExtraTreesRegressor attribute) (evalml.pipelines.components.Imputer attribute) (evalml.pipelines.components.LightGBMClassifier attribute) (evalml.pipelines.components.LightGBMRegressor attribute) (evalml.pipelines.components.LinearRegressor attribute) (evalml.pipelines.components.LogisticRegressionClassifier attribute) (evalml.pipelines.components.OneHotEncoder attribute) (evalml.pipelines.components.PerColumnImputer attribute) (evalml.pipelines.components.RandomForestClassifier attribute) (evalml.pipelines.components.RandomForestRegressor attribute) (evalml.pipelines.components.RFClassifierSelectFromModel attribute) (evalml.pipelines.components.RFRegressorSelectFromModel attribute) (evalml.pipelines.components.SelectColumns attribute) (evalml.pipelines.components.SimpleImputer attribute) (evalml.pipelines.components.StackedEnsembleClassifier attribute) (evalml.pipelines.components.StackedEnsembleRegressor attribute) (evalml.pipelines.components.StandardScaler attribute) (evalml.pipelines.components.TargetEncoder attribute) (evalml.pipelines.components.TextFeaturizer attribute) (evalml.pipelines.components.TimeSeriesBaselineRegressor attribute) (evalml.pipelines.components.XGBoostClassifier attribute) (evalml.pipelines.components.XGBoostRegressor attribute) (evalml.pipelines.MeanBaselineRegressionPipeline attribute) (evalml.pipelines.ModeBaselineBinaryPipeline attribute) (evalml.pipelines.ModeBaselineMulticlassPipeline attribute) (evalml.pipelines.TimeSeriesBaselineRegressionPipeline attribute)

ModelFamily (class in evalml.model_family) MSE (class in evalml.objectives) MulticlassClassificationObjective (class in evalml.objectives) MulticlassClassificationPipeline (class in evalml.pipelines)

N

name (evalml.data_checks.ClassImbalanceDataCheck attribute) (evalml.data_checks.DataCheck attribute) (evalml.data_checks.HighlyNullDataCheck attribute) (evalml.data_checks.IDColumnsDataCheck attribute) (evalml.data_checks.InvalidTargetDataCheck attribute) (evalml.data_checks.NoVarianceDataCheck attribute) (evalml.data_checks.OutliersDataCheck attribute) (evalml.data_checks.TargetLeakageDataCheck attribute) (evalml.pipelines.BaselineBinaryPipeline attribute) (evalml.pipelines.BaselineMulticlassPipeline attribute) (evalml.pipelines.BaselineRegressionPipeline attribute) (evalml.pipelines.BinaryClassificationPipeline attribute) (evalml.pipelines.ClassificationPipeline attribute) (evalml.pipelines.components.BaselineClassifier attribute) (evalml.pipelines.components.BaselineRegressor attribute) (evalml.pipelines.components.CatBoostClassifier attribute) (evalml.pipelines.components.CatBoostRegressor attribute) (evalml.pipelines.components.DateTimeFeaturizer attribute) (evalml.pipelines.components.DecisionTreeClassifier attribute) (evalml.pipelines.components.DecisionTreeRegressor attribute) (evalml.pipelines.components.DelayedFeatureTransformer attribute) (evalml.pipelines.components.DFSTransformer attribute) (evalml.pipelines.components.DropColumns attribute) (evalml.pipelines.components.DropNullColumns attribute) (evalml.pipelines.components.ElasticNetClassifier attribute) (evalml.pipelines.components.ElasticNetRegressor attribute) (evalml.pipelines.components.ExtraTreesClassifier attribute) (evalml.pipelines.components.ExtraTreesRegressor attribute) (evalml.pipelines.components.Imputer attribute) (evalml.pipelines.components.LightGBMClassifier attribute) (evalml.pipelines.components.LightGBMRegressor attribute) (evalml.pipelines.components.LinearRegressor attribute) (evalml.pipelines.components.LogisticRegressionClassifier attribute) (evalml.pipelines.components.OneHotEncoder attribute) (evalml.pipelines.components.PerColumnImputer attribute) (evalml.pipelines.components.RandomForestClassifier attribute) (evalml.pipelines.components.RandomForestRegressor attribute) (evalml.pipelines.components.RFClassifierSelectFromModel attribute) (evalml.pipelines.components.RFRegressorSelectFromModel attribute) (evalml.pipelines.components.SelectColumns attribute) (evalml.pipelines.components.SimpleImputer attribute) (evalml.pipelines.components.StackedEnsembleClassifier attribute) (evalml.pipelines.components.StackedEnsembleRegressor attribute) (evalml.pipelines.components.StandardScaler attribute) (evalml.pipelines.components.TargetEncoder attribute) (evalml.pipelines.components.TextFeaturizer attribute) (evalml.pipelines.components.TimeSeriesBaselineRegressor attribute) (evalml.pipelines.components.XGBoostClassifier attribute) (evalml.pipelines.components.XGBoostRegressor attribute) (evalml.pipelines.MeanBaselineRegressionPipeline attribute) (evalml.pipelines.ModeBaselineBinaryPipeline attribute) (evalml.pipelines.ModeBaselineMulticlassPipeline attribute) (evalml.pipelines.MulticlassClassificationPipeline attribute) (evalml.pipelines.PipelineBase attribute) (evalml.pipelines.RegressionPipeline attribute) (evalml.pipelines.TimeSeriesBaselineRegressionPipeline attribute) (evalml.pipelines.TimeSeriesBinaryClassificationPipeline attribute) (evalml.pipelines.TimeSeriesClassificationPipeline attribute) (evalml.pipelines.TimeSeriesMulticlassClassificationPipeline attribute) (evalml.pipelines.TimeSeriesRegressionPipeline attribute)

next_batch() (evalml.automl.automl_algorithm.AutoMLAlgorithm method) (evalml.automl.automl_algorithm.IterativeAlgorithm method) normalize_confusion_matrix() (in module evalml.model_understanding) NoVarianceDataCheck (class in evalml.data_checks) number_of_features() (in module evalml.preprocessing)

O

objective_function() (evalml.objectives.AccuracyBinary method) (evalml.objectives.AccuracyMulticlass method) (evalml.objectives.AUC method) (evalml.objectives.AUCMacro method) (evalml.objectives.AUCMicro method) (evalml.objectives.AUCWeighted method) (evalml.objectives.BalancedAccuracyBinary method) (evalml.objectives.BalancedAccuracyMulticlass method) (evalml.objectives.BinaryClassificationObjective class method) (evalml.objectives.CostBenefitMatrix method) (evalml.objectives.ExpVariance method) (evalml.objectives.F1 method) (evalml.objectives.F1Macro method) (evalml.objectives.F1Micro method) (evalml.objectives.F1Weighted method) (evalml.objectives.FraudCost method) (evalml.objectives.LeadScoring method) (evalml.objectives.LogLossBinary method) (evalml.objectives.LogLossMulticlass method) (evalml.objectives.MAE method) (evalml.objectives.MAPE method) (evalml.objectives.MaxError method) (evalml.objectives.MCCBinary method) (evalml.objectives.MCCMulticlass method) (evalml.objectives.MeanSquaredLogError method) (evalml.objectives.MedianAE method) (evalml.objectives.MSE method) (evalml.objectives.MulticlassClassificationObjective class method) (evalml.objectives.ObjectiveBase class method) (evalml.objectives.Precision method) (evalml.objectives.PrecisionMacro method) (evalml.objectives.PrecisionMicro method) (evalml.objectives.PrecisionWeighted method) (evalml.objectives.R2 method) (evalml.objectives.Recall method) (evalml.objectives.RecallMacro method) (evalml.objectives.RecallMicro method) (evalml.objectives.RecallWeighted method) (evalml.objectives.RegressionObjective class method) (evalml.objectives.RootMeanSquaredError method) (evalml.objectives.RootMeanSquaredLogError method)

ObjectiveBase (class in evalml.objectives) OneHotEncoder (class in evalml.pipelines.components) optimize_threshold() (evalml.objectives.AccuracyBinary method) (evalml.objectives.AUC method) (evalml.objectives.BalancedAccuracyBinary method) (evalml.objectives.BinaryClassificationObjective method) (evalml.objectives.CostBenefitMatrix method) (evalml.objectives.F1 method) (evalml.objectives.FraudCost method) (evalml.objectives.LeadScoring method) (evalml.objectives.LogLossBinary method) (evalml.objectives.MCCBinary method) (evalml.objectives.Precision method) (evalml.objectives.Recall method) OutliersDataCheck (class in evalml.data_checks)

P

pad_with_nans() (in module evalml.utils) partial_dependence() (in module evalml.model_understanding) PerColumnImputer (class in evalml.pipelines.components) PipelineBase (class in evalml.pipelines) Precision (class in evalml.objectives) precision_recall_curve() (in module evalml.model_understanding) PrecisionMacro (class in evalml.objectives) PrecisionMicro (class in evalml.objectives) PrecisionWeighted (class in evalml.objectives) predict() (evalml.pipelines.BaselineBinaryPipeline method) (evalml.pipelines.BaselineMulticlassPipeline method) (evalml.pipelines.BaselineRegressionPipeline method) (evalml.pipelines.BinaryClassificationPipeline method) (evalml.pipelines.ClassificationPipeline method) (evalml.pipelines.components.BaselineClassifier method) (evalml.pipelines.components.BaselineRegressor method) (evalml.pipelines.components.CatBoostClassifier method) (evalml.pipelines.components.CatBoostRegressor method) (evalml.pipelines.components.DecisionTreeClassifier method) (evalml.pipelines.components.DecisionTreeRegressor method) (evalml.pipelines.components.ElasticNetClassifier method) (evalml.pipelines.components.ElasticNetRegressor method) (evalml.pipelines.components.Estimator method) (evalml.pipelines.components.ExtraTreesClassifier method) (evalml.pipelines.components.ExtraTreesRegressor method) (evalml.pipelines.components.LightGBMClassifier method) (evalml.pipelines.components.LightGBMRegressor method) (evalml.pipelines.components.LinearRegressor method) (evalml.pipelines.components.LogisticRegressionClassifier method) (evalml.pipelines.components.RandomForestClassifier method) (evalml.pipelines.components.RandomForestRegressor method) (evalml.pipelines.components.StackedEnsembleClassifier method) (evalml.pipelines.components.StackedEnsembleRegressor method) (evalml.pipelines.components.TimeSeriesBaselineRegressor method) (evalml.pipelines.components.XGBoostClassifier method) (evalml.pipelines.components.XGBoostRegressor method) (evalml.pipelines.MeanBaselineRegressionPipeline method) (evalml.pipelines.ModeBaselineBinaryPipeline method) (evalml.pipelines.ModeBaselineMulticlassPipeline method) (evalml.pipelines.MulticlassClassificationPipeline method) (evalml.pipelines.PipelineBase method) (evalml.pipelines.RegressionPipeline method) (evalml.pipelines.TimeSeriesBaselineRegressionPipeline method) (evalml.pipelines.TimeSeriesBinaryClassificationPipeline method) (evalml.pipelines.TimeSeriesClassificationPipeline method) (evalml.pipelines.TimeSeriesMulticlassClassificationPipeline method) (evalml.pipelines.TimeSeriesRegressionPipeline method) predict_proba() (evalml.pipelines.BaselineBinaryPipeline method) (evalml.pipelines.BaselineMulticlassPipeline method) (evalml.pipelines.BinaryClassificationPipeline method) (evalml.pipelines.ClassificationPipeline method) (evalml.pipelines.components.BaselineClassifier method) (evalml.pipelines.components.BaselineRegressor method) (evalml.pipelines.components.CatBoostClassifier method) (evalml.pipelines.components.CatBoostRegressor method) (evalml.pipelines.components.DecisionTreeClassifier method) (evalml.pipelines.components.DecisionTreeRegressor method) (evalml.pipelines.components.ElasticNetClassifier method) (evalml.pipelines.components.ElasticNetRegressor method) (evalml.pipelines.components.Estimator method) (evalml.pipelines.components.ExtraTreesClassifier method) (evalml.pipelines.components.ExtraTreesRegressor method) (evalml.pipelines.components.LightGBMClassifier method) (evalml.pipelines.components.LightGBMRegressor method) (evalml.pipelines.components.LinearRegressor method) (evalml.pipelines.components.LogisticRegressionClassifier method) (evalml.pipelines.components.RandomForestClassifier method) (evalml.pipelines.components.RandomForestRegressor method) (evalml.pipelines.components.StackedEnsembleClassifier method) (evalml.pipelines.components.StackedEnsembleRegressor method) (evalml.pipelines.components.TimeSeriesBaselineRegressor method) (evalml.pipelines.components.XGBoostClassifier method) (evalml.pipelines.components.XGBoostRegressor method) (evalml.pipelines.ModeBaselineBinaryPipeline method) (evalml.pipelines.ModeBaselineMulticlassPipeline method) (evalml.pipelines.MulticlassClassificationPipeline method) (evalml.pipelines.TimeSeriesBinaryClassificationPipeline method) (evalml.pipelines.TimeSeriesClassificationPipeline method) (evalml.pipelines.TimeSeriesMulticlassClassificationPipeline method)

problem_type (evalml.pipelines.BaselineBinaryPipeline attribute) (evalml.pipelines.BaselineMulticlassPipeline attribute) (evalml.pipelines.BaselineRegressionPipeline attribute) (evalml.pipelines.BinaryClassificationPipeline attribute) (evalml.pipelines.ClassificationPipeline attribute) (evalml.pipelines.MeanBaselineRegressionPipeline attribute) (evalml.pipelines.ModeBaselineBinaryPipeline attribute) (evalml.pipelines.ModeBaselineMulticlassPipeline attribute) (evalml.pipelines.MulticlassClassificationPipeline attribute) (evalml.pipelines.PipelineBase attribute) (evalml.pipelines.RegressionPipeline attribute) (evalml.pipelines.TimeSeriesBaselineRegressionPipeline attribute) (evalml.pipelines.TimeSeriesBinaryClassificationPipeline attribute) (evalml.pipelines.TimeSeriesClassificationPipeline attribute) (evalml.pipelines.TimeSeriesMulticlassClassificationPipeline attribute) (evalml.pipelines.TimeSeriesRegressionPipeline attribute) ProblemTypes (class in evalml.problem_types) propose() (evalml.tuners.GridSearchTuner method) (evalml.tuners.RandomSearchTuner method) (evalml.tuners.SKOptTuner method) (evalml.tuners.Tuner method)

R

R2 (class in evalml.objectives) raise_and_save_error_callback() (in module evalml.automl.callbacks) raise_error_callback() (in module evalml.automl.callbacks) RandomForestClassifier (class in evalml.pipelines.components) RandomForestRegressor (class in evalml.pipelines.components) RandomSearchTuner (class in evalml.tuners) Recall (class in evalml.objectives) RecallMacro (class in evalml.objectives)

RecallMicro (class in evalml.objectives) RecallWeighted (class in evalml.objectives) RegressionObjective (class in evalml.objectives) RegressionPipeline (class in evalml.pipelines) RFClassifierSelectFromModel (class in evalml.pipelines.components) RFRegressorSelectFromModel (class in evalml.pipelines.components) roc_curve() (in module evalml.model_understanding) RootMeanSquaredError (class in evalml.objectives) RootMeanSquaredLogError (class in evalml.objectives)

S

save() (evalml.automl.AutoMLSearch method) (evalml.pipelines.BaselineBinaryPipeline method) (evalml.pipelines.BaselineMulticlassPipeline method) (evalml.pipelines.BaselineRegressionPipeline method) (evalml.pipelines.BinaryClassificationPipeline method) (evalml.pipelines.ClassificationPipeline method) (evalml.pipelines.components.BaselineClassifier method) (evalml.pipelines.components.BaselineRegressor method) (evalml.pipelines.components.CatBoostClassifier method) (evalml.pipelines.components.CatBoostRegressor method) (evalml.pipelines.components.ComponentBase method) (evalml.pipelines.components.DateTimeFeaturizer method) (evalml.pipelines.components.DecisionTreeClassifier method) (evalml.pipelines.components.DecisionTreeRegressor method) (evalml.pipelines.components.DelayedFeatureTransformer method) (evalml.pipelines.components.DFSTransformer method) (evalml.pipelines.components.DropColumns method) (evalml.pipelines.components.DropNullColumns method) (evalml.pipelines.components.ElasticNetClassifier method) (evalml.pipelines.components.ElasticNetRegressor method) (evalml.pipelines.components.Estimator method) (evalml.pipelines.components.ExtraTreesClassifier method) (evalml.pipelines.components.ExtraTreesRegressor method) (evalml.pipelines.components.Imputer method) (evalml.pipelines.components.LightGBMClassifier method) (evalml.pipelines.components.LightGBMRegressor method) (evalml.pipelines.components.LinearRegressor method) (evalml.pipelines.components.LogisticRegressionClassifier method) (evalml.pipelines.components.OneHotEncoder method) (evalml.pipelines.components.PerColumnImputer method) (evalml.pipelines.components.RandomForestClassifier method) (evalml.pipelines.components.RandomForestRegressor method) (evalml.pipelines.components.RFClassifierSelectFromModel method) (evalml.pipelines.components.RFRegressorSelectFromModel method) (evalml.pipelines.components.SelectColumns method) (evalml.pipelines.components.SimpleImputer method) (evalml.pipelines.components.StackedEnsembleClassifier method) (evalml.pipelines.components.StackedEnsembleRegressor method) (evalml.pipelines.components.StandardScaler method) (evalml.pipelines.components.TargetEncoder method) (evalml.pipelines.components.TextFeaturizer method) (evalml.pipelines.components.TimeSeriesBaselineRegressor method) (evalml.pipelines.components.Transformer method) (evalml.pipelines.components.XGBoostClassifier method) (evalml.pipelines.components.XGBoostRegressor method) (evalml.pipelines.MeanBaselineRegressionPipeline method) (evalml.pipelines.ModeBaselineBinaryPipeline method) (evalml.pipelines.ModeBaselineMulticlassPipeline method) (evalml.pipelines.MulticlassClassificationPipeline method) (evalml.pipelines.PipelineBase method) (evalml.pipelines.RegressionPipeline method) (evalml.pipelines.TimeSeriesBaselineRegressionPipeline method) (evalml.pipelines.TimeSeriesBinaryClassificationPipeline method) (evalml.pipelines.TimeSeriesClassificationPipeline method) (evalml.pipelines.TimeSeriesMulticlassClassificationPipeline method) (evalml.pipelines.TimeSeriesRegressionPipeline method) score() (evalml.objectives.AccuracyBinary method) (evalml.objectives.AccuracyMulticlass method) (evalml.objectives.AUC method) (evalml.objectives.AUCMacro method) (evalml.objectives.AUCMicro method) (evalml.objectives.AUCWeighted method) (evalml.objectives.BalancedAccuracyBinary method) (evalml.objectives.BalancedAccuracyMulticlass method) (evalml.objectives.BinaryClassificationObjective method) (evalml.objectives.CostBenefitMatrix method) (evalml.objectives.ExpVariance method) (evalml.objectives.F1 method) (evalml.objectives.F1Macro method) (evalml.objectives.F1Micro method) (evalml.objectives.F1Weighted method) (evalml.objectives.FraudCost method) (evalml.objectives.LeadScoring method) (evalml.objectives.LogLossBinary method) (evalml.objectives.LogLossMulticlass method) (evalml.objectives.MAE method) (evalml.objectives.MAPE method) (evalml.objectives.MaxError method) (evalml.objectives.MCCBinary method) (evalml.objectives.MCCMulticlass method) (evalml.objectives.MeanSquaredLogError method) (evalml.objectives.MedianAE method) (evalml.objectives.MSE method) (evalml.objectives.MulticlassClassificationObjective method) (evalml.objectives.ObjectiveBase method) (evalml.objectives.Precision method) (evalml.objectives.PrecisionMacro method) (evalml.objectives.PrecisionMicro method) (evalml.objectives.PrecisionWeighted method) (evalml.objectives.R2 method) (evalml.objectives.Recall method) (evalml.objectives.RecallMacro method) (evalml.objectives.RecallMicro method) (evalml.objectives.RecallWeighted method) (evalml.objectives.RegressionObjective method) (evalml.objectives.RootMeanSquaredError method) (evalml.objectives.RootMeanSquaredLogError method) (evalml.pipelines.BaselineBinaryPipeline method) (evalml.pipelines.BaselineMulticlassPipeline method) (evalml.pipelines.BaselineRegressionPipeline method) (evalml.pipelines.BinaryClassificationPipeline method) (evalml.pipelines.ClassificationPipeline method) (evalml.pipelines.MeanBaselineRegressionPipeline method) (evalml.pipelines.ModeBaselineBinaryPipeline method) (evalml.pipelines.ModeBaselineMulticlassPipeline method) (evalml.pipelines.MulticlassClassificationPipeline method) (evalml.pipelines.PipelineBase method) (evalml.pipelines.RegressionPipeline method) (evalml.pipelines.TimeSeriesBaselineRegressionPipeline method) (evalml.pipelines.TimeSeriesBinaryClassificationPipeline method) (evalml.pipelines.TimeSeriesClassificationPipeline method) (evalml.pipelines.TimeSeriesMulticlassClassificationPipeline method) (evalml.pipelines.TimeSeriesRegressionPipeline method)

search() (evalml.automl.AutoMLSearch method) SelectColumns (class in evalml.pipelines.components) silent_error_callback() (in module evalml.automl.callbacks) SimpleImputer (class in evalml.pipelines.components) SKOptTuner (class in evalml.tuners) split_data() (in module evalml.preprocessing) StackedEnsembleClassifier (class in evalml.pipelines.components) StackedEnsembleRegressor (class in evalml.pipelines.components) StandardScaler (class in evalml.pipelines.components) summary (evalml.pipelines.BaselineBinaryPipeline attribute) (evalml.pipelines.BaselineMulticlassPipeline attribute) (evalml.pipelines.BaselineRegressionPipeline attribute) (evalml.pipelines.MeanBaselineRegressionPipeline attribute) (evalml.pipelines.ModeBaselineBinaryPipeline attribute) (evalml.pipelines.ModeBaselineMulticlassPipeline attribute) (evalml.pipelines.TimeSeriesBaselineRegressionPipeline attribute) supported_problem_types (evalml.pipelines.components.BaselineClassifier attribute) (evalml.pipelines.components.BaselineRegressor attribute) (evalml.pipelines.components.CatBoostClassifier attribute) (evalml.pipelines.components.CatBoostRegressor attribute) (evalml.pipelines.components.DecisionTreeClassifier attribute) (evalml.pipelines.components.DecisionTreeRegressor attribute) (evalml.pipelines.components.ElasticNetClassifier attribute) (evalml.pipelines.components.ElasticNetRegressor attribute) (evalml.pipelines.components.ExtraTreesClassifier attribute) (evalml.pipelines.components.ExtraTreesRegressor attribute) (evalml.pipelines.components.LightGBMClassifier attribute) (evalml.pipelines.components.LightGBMRegressor attribute) (evalml.pipelines.components.LinearRegressor attribute) (evalml.pipelines.components.LogisticRegressionClassifier attribute) (evalml.pipelines.components.RandomForestClassifier attribute) (evalml.pipelines.components.RandomForestRegressor attribute) (evalml.pipelines.components.StackedEnsembleClassifier attribute) (evalml.pipelines.components.StackedEnsembleRegressor attribute) (evalml.pipelines.components.TimeSeriesBaselineRegressor attribute) (evalml.pipelines.components.XGBoostClassifier attribute) (evalml.pipelines.components.XGBoostRegressor attribute)

T

target_distribution() (in module evalml.preprocessing) TargetEncoder (class in evalml.pipelines.components) TargetLeakageDataCheck (class in evalml.data_checks) TextFeaturizer (class in evalml.pipelines.components) TimeSeriesBaselineRegressionPipeline (class in evalml.pipelines) TimeSeriesBaselineRegressor (class in evalml.pipelines.components) TimeSeriesBinaryClassificationPipeline (class in evalml.pipelines) TimeSeriesClassificationPipeline (class in evalml.pipelines) TimeSeriesMulticlassClassificationPipeline (class in evalml.pipelines) TimeSeriesRegressionPipeline (class in evalml.pipelines) to_dict() (evalml.data_checks.DataCheckError method) (evalml.data_checks.DataCheckMessage method) (evalml.data_checks.DataCheckWarning method) transform() (evalml.pipelines.components.DateTimeFeaturizer method) (evalml.pipelines.components.DelayedFeatureTransformer method) (evalml.pipelines.components.DFSTransformer method) (evalml.pipelines.components.DropColumns method) (evalml.pipelines.components.DropNullColumns method) (evalml.pipelines.components.Imputer method) (evalml.pipelines.components.OneHotEncoder method) (evalml.pipelines.components.PerColumnImputer method) (evalml.pipelines.components.RFClassifierSelectFromModel method) (evalml.pipelines.components.RFRegressorSelectFromModel method) (evalml.pipelines.components.SelectColumns method) (evalml.pipelines.components.SimpleImputer method) (evalml.pipelines.components.StandardScaler method) (evalml.pipelines.components.TargetEncoder method) (evalml.pipelines.components.TextFeaturizer method) (evalml.pipelines.components.Transformer method)

Transformer (class in evalml.pipelines.components) Tuner (class in evalml.tuners)

V

validate() (evalml.data_checks.ClassImbalanceDataCheck method) (evalml.data_checks.DataCheck method) (evalml.data_checks.DataChecks method) (evalml.data_checks.DefaultDataChecks method) (evalml.data_checks.HighlyNullDataCheck method) (evalml.data_checks.IDColumnsDataCheck method) (evalml.data_checks.InvalidTargetDataCheck method) (evalml.data_checks.NoVarianceDataCheck method) (evalml.data_checks.OutliersDataCheck method) (evalml.data_checks.TargetLeakageDataCheck method) validate_inputs() (evalml.objectives.AccuracyBinary method) (evalml.objectives.AccuracyMulticlass method) (evalml.objectives.AUC method) (evalml.objectives.AUCMacro method) (evalml.objectives.AUCMicro method) (evalml.objectives.AUCWeighted method) (evalml.objectives.BalancedAccuracyBinary method) (evalml.objectives.BalancedAccuracyMulticlass method) (evalml.objectives.BinaryClassificationObjective method) (evalml.objectives.CostBenefitMatrix method) (evalml.objectives.ExpVariance method) (evalml.objectives.F1 method) (evalml.objectives.F1Macro method) (evalml.objectives.F1Micro method) (evalml.objectives.F1Weighted method) (evalml.objectives.FraudCost method) (evalml.objectives.LeadScoring method) (evalml.objectives.LogLossBinary method) (evalml.objectives.LogLossMulticlass method) (evalml.objectives.MAE method) (evalml.objectives.MAPE method) (evalml.objectives.MaxError method) (evalml.objectives.MCCBinary method) (evalml.objectives.MCCMulticlass method) (evalml.objectives.MeanSquaredLogError method) (evalml.objectives.MedianAE method) (evalml.objectives.MSE method) (evalml.objectives.MulticlassClassificationObjective method) (evalml.objectives.ObjectiveBase method) (evalml.objectives.Precision method) (evalml.objectives.PrecisionMacro method) (evalml.objectives.PrecisionMicro method) (evalml.objectives.PrecisionWeighted method) (evalml.objectives.R2 method) (evalml.objectives.Recall method) (evalml.objectives.RecallMacro method) (evalml.objectives.RecallMicro method) (evalml.objectives.RecallWeighted method) (evalml.objectives.RegressionObjective method) (evalml.objectives.RootMeanSquaredError method) (evalml.objectives.RootMeanSquaredLogError method)

X

XGBoostClassifier (class in evalml.pipelines.components)

XGBoostRegressor (class in evalml.pipelines.components)